idiap/bob
quality grade F, 22 out of 100Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
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ETL, document parsing, web crawling, synthetic data generation, annotation and dataset curation tooling.
Signals: data-engineering, etl, data-pipeline, web-scraping, crawler, data-labeling, annotation-tool, synthetic-data
473 results
Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland.
A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate
A ruby gem for elegant data science and machine learning
Descriptor computation(chemistry) and (optional) storage for machine learning
Data Shapley: Equitable Valuation of Data for Machine Learning
[Open-Source Project] Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting
Multilingual Document Layout Parsing in a Single Vision-Language Model
Synthetic data generation demo using a UK retail transactional dataset. Ideal for professionals in retail, e-commerce, finance, and supply chain sectors who want to create privacy-preserving, realistic synthetic data for testing, analysis, and machine learning.
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
An exercise in unsupervised machine learning: Extract Article's Text in HTml documents.
A stand-alone implementation of several NumPy dtype extensions used in machine learning.
Tools for extracting tables and results from Machine Learning papers
A library for machine learning research on motion capture data
:dart: Personal data science and machine learning toolbox
Python module for machine learning time series:
PowerGraph: A framework for large-scale machine learning and graph computation.
A Machine Learning System for Data Enrichment.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Code repository for the online course Feature Selection for Machine Learning
Code repository for the online course Feature Engineering for Machine Learning
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
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